5 papers
Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction
Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2
No Free Lunch theorem implies that any performance gains achieved by a classifier on a particular image distribution are necessarily offset by a loss of performance over the set of…
BrightVAE: Luminosity Enhancement in Underexposed Endoscopic Images
Farzaneh Koohestani, Zahra Nabizadeh, Nader Karimi +2
The enhancement of image luminosity is especially critical in endoscopic images. Underexposed endoscopic images often suffer from reduced contrast and uneven brightness, significan…
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Parham Yazdekhasty, Ali Zindari, Zahra Nabizadeh-ShahreBabak +3
Coronavirus has caused hundreds of thousands of deaths. Fatalities could decrease if every patient could get suitable treatment by the healthcare system. Machine learning, especial…
Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images
Parham Yazdekhasty, Ali Zindar, Zahra Nabizadeh-ShahreBabak +4
The new coronavirus infection has shocked the world since early 2020 with its aggressive outbreak. Rapid detection of the disease saves lives, and relying on medical imaging (Compu…
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning
Ghazale Ghorbanzade, Zahra Nabizadeh-ShahreBabak, Shadrokh Samavi +3
Brain signals could be used to control devices to assist individuals with disabilities. Signals such as electroencephalograms are complicated and hard to interpret. A set of signal…